Effect assessment for the interaction between shaking table and eccentric load

Wang, Juke; Liu, Aiwen; Li, Xiaojun; Zhou, Zhongyi; Chen, Su; Ji, Jinbao

doi:10.1038/s41598-022-19743-y

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Approximate matching of the test and actual payload mass is important during the motion calibration (Phillips et al, 2014). However, whilst it is often acknowledged that the payload dynamics can influence the calibrated motions achieved, matching of stiffnesses between the test and actual payload is less commonly discussed (Yachun et al, 2018; Wang et al, 2022). Further, in many applications, whilst the payload mass is fixed, the payload can experience significant changes of stiffness due to the applied motion.…”

Section: Introductionmentioning

confidence: 99%

Experimentally investigating the influence of changing payload stiffness on outer loop iterative learning control strategies with shaking table tests

Madabhushi

Hruby

Wham

2023

Journal of Vibration and Control

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Shaking tables are widely used across numerous engineering research and industrial sectors, including mechanical (e.g. automotive and aerospace testing), electrical (e.g. instrumentation testing) and civil (e.g. structural and geotechnical testing) engineering. It is commonly required to replicate the shake table motions accurately and precisely. Iterative learning control algorithms can be used to complement traditional proportional–integral–differential feedback control algorithms to optimize drive signals using a test payload prior to the real experiment. Historically, the design of these test payloads has focused on matching the mass of the actual payload and neglected its dynamic response. In this study, experimental results from shake table tests using multiple geotechnical containers with dry and saturated beds that exhibit a range of stiffnesses and material damping when shaken are presented. Errors between the demanded and achieved motions are explored and compared to the changing secant stiffness abstracted from the dynamic shear stress–strain loops of the payload. A clear trend emerges that demonstrates increased errors as the payload stiffness deviates from the constant stiffness test payload originally used with the open loop iterative learning control, and further the errors are not necessarily bounded by test payloads significantly softer or stiffer than the actual specimen. The findings support that in cases where repeatable, accurate and precise shake table motions are required for payloads that exhibit a complex material response that is not readily modelled mathematically, it may be necessary to reproduce the specimen’s overall dynamic response during the iterative learning control process.

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Section: Introductionmentioning

confidence: 99%

Experimentally investigating the influence of changing payload stiffness on outer loop iterative learning control strategies with shaking table tests

Madabhushi

Hruby

Wham

2023

Journal of Vibration and Control

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“…From the aspect of load characteristics, researchers have analysed the effects of mass, damping ratio, and frequency, 3,21 rigidity and flexibility, 22 the physical realization of damping, 15 the physical realization of stiffness, 23 and vibration mode 24 on the models of shaking table and load. The above researches have been provided in reference, 25 so the detailed researches will not be elaborated here. Besides, the ER influence on the system has been analysed in reference, 25 which only demonstrates the ER influence on actuator coupling at 10 Hz.…”

Section: Introductionmentioning

confidence: 99%

“…The above researches have been provided in reference, 25 so the detailed researches will not be elaborated here. Besides, the ER influence on the system has been analysed in reference, 25 which only demonstrates the ER influence on actuator coupling at 10 Hz.…”

Section: Introductionmentioning

confidence: 99%

Study on the interaction between shaking table and eccentric load

Wang,

Li,

Liu

et al. 2023

Journal of Low Frequency Noise, Vibration and Active Control

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The control-structure interaction (CSI) between shaking table and eccentric load is one of the most important reasons causing the accuracy degradation of shaking table test. At present, the eccentric ratio (ER) of load and the coupling between actuators pose challenges to study the CSI. Thus, this paper establishes an analytical transfer function matrix of a shaking table and eccentric load. Based on the transfer function matrix, a comprehensive study is conducted to analyse the CSI effect under different eccentric ratio conditions. The analysis proves the influence of the CSI, and the CSI amplifies the actuator coupling more than 22 times at 20.00 Hz. Furthermore, a real-time CSI compensation strategy considering the actuator coupling is proposed. With the adopting of the proposed strategy, the coupling between two actuators is fully eliminated, and the correlation coefficients of ground motion records of two actuators are improved by 14.75% and 5.48%, respectively.

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Influence and compensation of connection characteristics on shaking table control performance

Gao,

Li,

Yuan

et al. 2024

Sci Rep

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When testing earthquake simulation shaking tables, it is commonly assumed that the test load, table, and actuator are integrated, which differs significantly from the actual situation and negatively impacts the accuracy of system waveform reproduction. This paper simplifies the connection between the three as a spring-damping model for simulation modeling. The effects of different load mass, different connection intrinsic frequency, different connection damping ratios, and other factors on the control performance of the system are analyzed, and based on the results of the analysis, a method to improve the effects of the connection characteristics on the performance of the system, called flexible connection reaction force compensation algorithm, is proposed. Resonance peaks caused by flexible connections reduce the effective bandwidth. To broaden the bandwidth and enhance system stability, the paper introduces a flexible connection force compensation algorithm based on a multi-parameter control algorithm to compensate for the interaction force caused by the connection characteristics. This compensation strategy expands the effective bandwidth, eliminates resonance peaks, improves the waveform correlation coefficient (CC), and reduces the root-mean-square error (RMSE).

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Effect assessment for the interaction between shaking table and eccentric load

Cited by 3 publications

References 27 publications

Experimentally investigating the influence of changing payload stiffness on outer loop iterative learning control strategies with shaking table tests

Experimentally investigating the influence of changing payload stiffness on outer loop iterative learning control strategies with shaking table tests

Study on the interaction between shaking table and eccentric load

Influence and compensation of connection characteristics on shaking table control performance

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